Data-driven simulation and control

Markovsky, Ivan and Rapisarda, Paolo (2008) Data-driven simulation and control International Journal of Control, 81, (12), pp. 1946-1959.


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Classical linear time-invariant system simulation methods are based on a transfer function, impulse response, or input/state/output representation. We present a method for computing the response of a system to a given input and initial conditions directly from a trajectory of the system, without explicitly identifying the system from the data. Similarly to the classical approach for simulation, the classical approach for control is model-based: first a model representation is derived from given data of the plant and then a control law is synthesized using the model and the control specifications. We present an approach for computing a linear quadratic tracking control signal that circumvents the identification step. The results are derived assuming exact data and the simulated response or control input is constructed off-line.

Item Type: Article
Additional Information: simulation, data-driven control, output matching, linear quadratic tracking, system identification.
ISSNs: 0020-3270 (print)
Organisations: Southampton Wireless Group
ePrint ID: 263423
Date :
Date Event
December 2008Published
Date Deposited: 14 Feb 2007
Last Modified: 17 Apr 2017 19:53
Further Information:Google Scholar

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